CA2790542A1 - Facet data network - Google Patents
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Abstract
Systems and methods for developing a facet data network for an employee of an enterprise. The method comprises receiving a plurality of information records from at least one information source. The plurality of information records relates to at least one activity performed by the employee of the enterprise. The method further comprises associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise. The method further comprises generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of -information records. An information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
Description
Agent Ref: 78621/00001 3 [0001] The present subject matter described herein, in general, relates to a network of 4 employee data, in particular, relates to systems and methods for generating a network comprising information associated with employees of an enterprise.
8 [0002] Employees in an enterprise work at several roles and develop various 9 competencies. These employees also build connections with colleagues through emails, social/collaborative platforms, and direct contacts. Further, these employees also engage in 11 various social networking platforms outside workplace. Specifically, the employees perform a 12 variety of activities on internal platforms and external platforms in the enterprise. Examples of 13 internal platforms may include knowledge management platforms, talent management 14 platforms, instant messengers, and e-mail servers present in the enterprise. Activities performed on internal platforms may include participation in discussions, presentations, attending or 16 conducting training sessions, brainstorming sessions on several topics, interaction with 17 colleagues through calls, emails, instant messages and other activities performed by the 18 employees within the enterprise. Activities performed on the external platforms may include, 19 participating in a discussion or contributing some content relating to a certain topic on an online forum or interaction with acquaintances on a social networking website.
21 [0003] Activities performed on the internal platforms and along with the activities 22 performed on the external platforms may reveal a gamut of information about the employees.
[0004] This summary is provided to introduce concepts related to systems and methods 26 for developing a facet data network for an enterprise and the concepts are further described 27 below in the detailed description. This summary is not intended to identify essential features of 28 the claimed subject matter nor is it intended for use in determining or limiting the scope of the 29 claimed subject matter.
8 [0002] Employees in an enterprise work at several roles and develop various 9 competencies. These employees also build connections with colleagues through emails, social/collaborative platforms, and direct contacts. Further, these employees also engage in 11 various social networking platforms outside workplace. Specifically, the employees perform a 12 variety of activities on internal platforms and external platforms in the enterprise. Examples of 13 internal platforms may include knowledge management platforms, talent management 14 platforms, instant messengers, and e-mail servers present in the enterprise. Activities performed on internal platforms may include participation in discussions, presentations, attending or 16 conducting training sessions, brainstorming sessions on several topics, interaction with 17 colleagues through calls, emails, instant messages and other activities performed by the 18 employees within the enterprise. Activities performed on the external platforms may include, 19 participating in a discussion or contributing some content relating to a certain topic on an online forum or interaction with acquaintances on a social networking website.
21 [0003] Activities performed on the internal platforms and along with the activities 22 performed on the external platforms may reveal a gamut of information about the employees.
[0004] This summary is provided to introduce concepts related to systems and methods 26 for developing a facet data network for an enterprise and the concepts are further described 27 below in the detailed description. This summary is not intended to identify essential features of 28 the claimed subject matter nor is it intended for use in determining or limiting the scope of the 29 claimed subject matter.
[0005] In one implementation, a method for developing a facet data network for an 31 employee of an enterprise is provided. The method comprises receiving a plurality of 32 information records from at least one information source. The plurality of information records 33 relates to at least one activity performed by the employee of the enterprise. The method further 34 comprises associating each of the plurality of information records with at least one facet from 22285179.1 1 Agent Ref: 78621/00001 1 amongst a plurality of facets defined for one or more employees of the enterprise. The method 2 further comprises generating a plurality of information packets, each information packet 3 corresponding to an information record from amongst the plurality of information records. An 4 information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data 6 network.
9 [0006] The detailed description is described with reference to the accompanying figures.
In the figures, the left-most digit(s) of a reference number identifies the figure in which the 11 reference number first appears. The same numbers are used throughout the drawings to 12 reference like features and components.
13 [0007] Figure 1 illustrates a network implementation of a system for developing a facet 14 data network for an enterprise, in accordance with an implementation of the present subject matter.
16 [0008] Figure 2a illustrates a packer header of a 0-bit, in accordance with an 17 embodiment of the present subject matter.
18 [0009] Figure 2b illustrates a facet data network, in accordance with an embodiment of 19 the present subject matter.
In the figures, the left-most digit(s) of a reference number identifies the figure in which the 11 reference number first appears. The same numbers are used throughout the drawings to 12 reference like features and components.
13 [0007] Figure 1 illustrates a network implementation of a system for developing a facet 14 data network for an enterprise, in accordance with an implementation of the present subject matter.
16 [0008] Figure 2a illustrates a packer header of a 0-bit, in accordance with an 17 embodiment of the present subject matter.
18 [0009] Figure 2b illustrates a facet data network, in accordance with an embodiment of 19 the present subject matter.
[0010] Figure 3 illustrates a method for developing a facet data network for an 21 enterprise, in accordance with an implementation of the present subject matter.
24 [0011] Systems and methods for generating a facet data network are described herein.
The system and the method can be implemented in a variety of computing systems. The 26 computing systems that can implement the described method include, but are not restricted to, 27 mainframe computers, workstations, personal computers, desktop computers, minicomputers, 28 servers, multiprocessor systems, laptops, mobile computing devices, and the like.
29 [0012] The present subject matter in general relates to a network of data pertaining to employees of an enterprise. Typically, employees in an enterprise work at several roles and 31 develop various competencies. These employees also build connections with colleagues 32 through emails, social/collaborative platforms, and direct contacts.
Further, these employees 33 also engage in various social networking platforms outside workplace.
Activities performed at 22285179.1 2 Agent Ref: 78621/00001 1 the social networking platforms along with the activities performed at the workplace may reveal 2 a gamut of information, hereinafter referred to as information records of the employees.
3 [0013] For example, employee A and employee B may chat through an Instant 4 Messenger (IM) of the enterprise and a subject matter of the chat may relate to a topic X.
Information record that may be gathered from such an activity may be, for example, that the 6 employee B and employee A are acquainted with each other and that the employee B and 7 employee A possess knowledge of topic X.
8 [0014] In another example, an employee A may perform an activity, such as contributing 9 a content relating to topic Y in a knowledge management platform of the enterprise. One or more information records may be gathered from such an activity. In one example, an 11 information record that may be captured is that the employee A has expertise in topic Y.
24 [0011] Systems and methods for generating a facet data network are described herein.
The system and the method can be implemented in a variety of computing systems. The 26 computing systems that can implement the described method include, but are not restricted to, 27 mainframe computers, workstations, personal computers, desktop computers, minicomputers, 28 servers, multiprocessor systems, laptops, mobile computing devices, and the like.
29 [0012] The present subject matter in general relates to a network of data pertaining to employees of an enterprise. Typically, employees in an enterprise work at several roles and 31 develop various competencies. These employees also build connections with colleagues 32 through emails, social/collaborative platforms, and direct contacts.
Further, these employees 33 also engage in various social networking platforms outside workplace.
Activities performed at 22285179.1 2 Agent Ref: 78621/00001 1 the social networking platforms along with the activities performed at the workplace may reveal 2 a gamut of information, hereinafter referred to as information records of the employees.
3 [0013] For example, employee A and employee B may chat through an Instant 4 Messenger (IM) of the enterprise and a subject matter of the chat may relate to a topic X.
Information record that may be gathered from such an activity may be, for example, that the 6 employee B and employee A are acquainted with each other and that the employee B and 7 employee A possess knowledge of topic X.
8 [0014] In another example, an employee A may perform an activity, such as contributing 9 a content relating to topic Y in a knowledge management platform of the enterprise. One or more information records may be gathered from such an activity. In one example, an 11 information record that may be captured is that the employee A has expertise in topic Y.
12 Further, consider a case where the employee A receives feedbacks from one or more 13 colleagues indicating that the content relating to topic Y is well-presented. In such a case 14 another information record that may be gathered is that the employee A is good at communication skills. In one more situation, a feedback suggesting that the content contributed 16 by the employee A presents an innovative solution relating to topic Y may be received. As a 17 result of such a suggestion, another information record that the employee A
is innovative or has 18 innovative skills may be captured. Information records may pertain to various facets of an 19 employee. As apparent from the above example, an information record may relate to communication skill while the other may relate to a behavioral aspect of an employee i.e.
21 innovative nature and yet another information record may relate to a facet, such as expertise in 22 a certain topic, which is topic Y in the above example.
23 [0015] These information records may be captured in a meaningful way so as to provide 24 strategic advantage to the enterprise. For example, these information records may be used to get an insight of qualities, expertise, interests, strengths, weaknesses, behavioral model, and 26 various other facets associated with the employees, thereby helping the enterprise in several 27 ways, such as to assign right job to a right talent.
28 [0016] In accordance with an embodiment of the present subject matter, the above 29 mentioned information records may be fetched from internal platforms and external platforms accessed by the employees. Internal platforms and external platforms may be monitored 31 continuously to track the activities performed by the employees so as to fetch or mine the 32 information related to the employees. Examples of internal platforms may include knowledge 33 management platforms, talent management platforms, instant messengers, and e-mail servers 34 present in the enterprise. Activities performed on internal platforms may include participation in 22285179.1 3 Agent fief: 78621/00001 1 discussions, presentations, attending or conducting training sessions, brainstorming sessions 2 on several topics, interaction with colleagues through calls, emails, instant messages and other 3 activities performed by the employees within the enterprise. Activities performed on the external 4 platforms may include, participating in a discussion or contributing some content relating to a certain topic on an online forum or interaction with acquaintances on a social networking 6 website.
7 [0017] The above mentioned information records may be used to build a facet data 8 network for an enterprise. Accordingly, the present description is presented in context of a facet 9 data network of employees of an enterprise where data relating to various facets of an employee, i.e., information records, are gathered from the activities that the employees perform 11 on internal platforms of the enterprise. In will be appreciated by one skilled in the art that 12 although the present description is explained in context of an enterprise and its internal 13 platforms, the concepts related thereto may be extended to other group of people who may not 14 necessarily be engaged in an enterprise and may perform activities on any forum, such as a social networking website.
16 [0018] In one implementation, after the information records about the employees are 17 mined from the activities performed on the internal platforms and external platforms, each 18 information record is categorized into one or more facets. For example, if it is determined that 19 an idea contributed by an employee in the talent management platform is innovative, then an information record that the employee is innovative may be associated with a facet called 21 `innovative.' Similarly, each information record may be captured and associated with one or 22 more facets such as behavior, skill, expertise, and the like.
23 [0019] In the present embodiment, once the information records fetched from the 24 activities performed on the internal platforms are associated with one or more facets, the information records may be used to form the facet data network. The facet data network may be 26 understood as a network data hub or a network of information packets associated with one or 27 more employees such that each information packet comprises information pertaining to a facet 28 of an employee.
29 [0020] In one embodiment, a facet data network may be built for a content.
For example, consider that an employee A provides a solution relating to a software security 31 vulnerability. The employee A may upload the solution on an internal forum.
Other employees 32 may start commenting on the solution provided by employee A. For example one or more 33 comments may include suggestions to tweak the solution to improvise it.
Some comments may 34 reveal problems that may exist in implementing the solution suggested by employee A.
22285179.1 4 Agent Ref 78621/00001 1 Accordingly, information record may be captured for the content and a facet data network may 2 be created for the content.
3 [0021] Although the explanation herein is in context of a facet data network for 4 individual, such as employees, it will be understood that the same may be applied to a facet data network for a content, albeit a few modification that will be apparent to one skilled in the 6 art.
7 [0022] In one implementation, the data hub comprises information records in the form of 8 information packets. Each information packet may include a header comprising a destination 9 address of an employee, an indication of a facet associated with the information record, at least one facet tag, a flux direction, a flux value, a feedback agent, an information packet ID, a 11 timestamp, and other extension fields. The headers may interlink various information packets 12 with one another in the data hub based upon an indication of facet present in the headers. Thus 13 based upon the number of information packets associated with an employee, the flux value of 14 the information packets, and the flux direction of the information packets, a facet data network may be generated.
16 [0023] The facet data network reveals one or more facets of the employee.
For 17 example, the facet data network may reveal facets such as interaction behavior, ability to 18 innovate, ability to work in a team, ability to work independently, and the like. The facet data 19 network may enable the enterprise to understand the technological behavioral, social trends, strengths, weakness, and other aspects associated with the employees, thereby enabling the 21 enterprise to utilize the employees better and help the employees realize their career goals, in 22 terms of new work allocations, engaging in learning and development programs, and the like.
23 [0024] These and other aspects of the present subject matter would be described in 24 greater detail in conjunction with the following figures. While aspects of described systems and methods for building a facet data network may be implemented in any number of different 26 computing systems, environments, and/or configurations, the embodiments are described in the 27 context of the following system.
28 [0025] Figure 1 illustrates a network 100 implementing a system 102 for developing a 29 facet data network for an enterprise, in accordance with an embodiment of the present subject matter. The system 102 may be implemented in a variety of computing systems such as a 31 laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a 32 server, a network server, and the like. It will be understood that the system 102 may be 33 accessed through one or more client devices 104-1, 104-2, 104-3, and 104-N, that may be 34 collectively referred to as client devices 104. Examples of the client devices 104 may include, 22285179.1 5 Agent Ref 78621100001 1 but are not limited to, a portable computer, a personal digital assistant, a handheld device, and 2 a workstation. The client devices 104 are communicatively coupled to the system 102 through a 3 network 106 for facilitating one or more users to access the system 102.
4 [0026] In one implementation, the network 106 may be a wireless network, a wired network or a combination thereof. The network 106 can be implemented as one of the different 6 types of networks, such as intranet, local area network (LAN), wide area network (WAN), the 7 internet, and the like. The network 106 may either be a dedicated network or a shared network.
8 The shared network represents an association of the different types of networks that use a 9 variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like, to 11 communicate with one another. Further the network 106 may include a variety of network 12 devices, including routers, bridges, servers, computing devices, storage devices, and the like.
13 [0027] In one embodiment, the system 102 may include at least one processor 108, an 14 I/O interface 110, and a memory 112. The processor 108 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing 16 units, state machines, logic circuitries, and/or any devices that manipulate signals based on 17 operational instructions. Among other capabilities, the processor 108 is configured to fetch and 18 execute computer-readable instructions stored in the memory 112.
19 [0028] The I/O interface 110 may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, an the like. The 110 interface 110 may 21 allow the system 102 to interact with the client devices 104. Further, the 110 interface 110 may 22 enable the system 102 to communicate with other computing devices, such as web servers and 23 external data servers (not shown). The 1/0 interface 110 can facilitate multiple communications 24 within a wide variety of networks and protocol types, including wired networks, for example LAN, cable, etc., and wireless networks such as WLAN, cellular, or satellite. The I/O interface 110 26 may include one or more ports for connecting a number of devices to one another or to another 27 server.
28 [0029] The memory 112 may include any computer-readable medium known in the art 29 including, for example, volatile memory such as static random access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only 31 memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and 32 magnetic tapes. The memory 112 may include modules 114 and data 116.
33 [0030] The modules 114 include routines, programs, objects, components, data 34 structures, etc., which perform particular tasks or implement particular abstract data types. In 22285179.1 6 Agent Ref: 78621/00001 1 one implementation, the modules 114 may include an information mining module (IMM) 118, a 2 decision module 120, a packet generator 122, and other modules 124. The other modules 124 3 may include programs or coded instructions that supplement applications and functions of the 4 system 102.
[0031] The data 116, amongst other things, serves as a repository for storing data 6 processed, received, and generated by one or more of the modules 114. The data 116 may also 7 include a facet data network 126 comprising information records data 128 and information 8 packets data 130. Data 116 may further include other data 132.
9 [0032] In one implementation, an employee of an enterprise may perform certain activities on one or more internal platforms of the enterprise, The activities performed on internal 11 platforms may include activities related to work assigned to the employee in the enterprise. For 12 example, the employee may be asked to perform the following activities in the enterprise on the 13 internal platforms: prepare and present a presentation on a certain topic, or develop a program 14 logic for a software program, or brainstorm a solution for a problem existing in a manufacturing unit, or streamline a process flow, or manage progress of a group of employees and perform 16 quality checks for them, or provide a training to group of people, or strategize business 17 development, or hire new people for the enterprise, or research on a topic, or organize a 18 seminar, or draft a patent application, or perform a market analysis of particular item, or 19 accumulate client needs and develop a software program accordingly, and other activities depending upon a field of work of the employee.
21 [0033] In one embodiment, employees may also perform some activities which may not 22 be directly connected with the field of work of the employee on certain external platforms, 23 Activities performed by the employee on the external platforms may include writing a blog, or 24 building a professional profile on social networking website, or participating in an online discussion on a certain topic such as JAVA, or contributing to a development of a particular 26 subject, or discussing a topic on an online forum, or voting in a poll question asked in a news 27 website, or commenting on a subject, and the other such activities.
28 [0034] While there may be several internal and external platforms with which the 29 employees may interact with to perform the one or more of the above described activities, for ease of explanation, a single platform, hereinafter referred to as a platform 134 is depicted in 31 Figure 1. The platform 134 may be implemented in a variety of computing systems such as a 32 laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a 33 server, a network server, and the like, 22285179.1 7 Agent Ref: 78621/00001 1 [00351 The activities, as mentioned above, may be performed by the employees using 2 their respective client devices 104. All the activities performed on the client device 104 by an 3 employee may be monitored by the !MM 118 of the system 102. The 1MM 118 may fetch or 4 mine information records relating to all the activities performed on the internal and external platforms. In other words, 1MM 118 may fetch information records relating to all the activities 6 performed by the employee on the client device 104. In one example, the IMM
118 may be a 7 conventionally known data mining system or a text mining application configured to extract 8 information records relating to the various activities. For example, when the employee accesses 9 his profile on a social networking website using the client device 104, the IMM 118 may fetch a list of people connected with the employee on said social networking website.
In another 11 example, in case the employee is involved in developing a software program to automate a 12 work process, then the IMM 118 may be configured to fetch details relating to the software 13 program, such as the application framework being used to develop the software program on the 14 client device 104. Such information records which are extracted by monitoring the activities of an employee are saved as information records data 128.
16 [00361 In one implementation, the IMM 118 may not directly extract information records 17 underlying various activities that may be performed by an employee but may be configured to 18 receive the information records from an external IMM (not shown in figures). In one 19 embodiment, the platform 134 may be considered to be a knowledge management platform or a talent management system of the enterprise wherein the platform 134 may comprise the 21 external IMM. The external IMM may also be implemented as a conventionally known data 22 mining system.
23 [0037] For example, consider that an employee performs an activity, such as submitting 24 a paper relating to a certain topic on the platform 134. In the present implementation, the external IMM implemented in the platform 134 and may be configured to extract information 26 records having various details. For example, an information record may be that the employee is 27 an expert in a topic. Further, the external IMM may also be capable of receiving additional 28 information records. Additional information records may include feedbacks that the colleagues 29 of the employee may wish give on an activity performed by the employee in the enterprise. For example, the colleagues may wish to provide a feedback about the paper presented by the 31 employee. In another example, one or more colleagues may provide feedbacks about a solution 32 provided by the employee to improve a manufacturing process, or about a corporate strategy 33 suggested by the employee in meeting, or about a contribution of the employee on a particular 34 topic, and other such activities. All such feedbacks are submitted to the platform 134. In one 22285179.1 8 Agent Ref 78621/00001 1 example, the colleagues may send an email to the platform 134 or use an application to upload 2 feedback or post a comment on the platform 134. These feedbacks may be monitored by the 3 external IMM to extract the information records relating to the activity performed by the 4 employee. It may be understood that each activity performed by the employee may have one or more information records relating to the activity performed. For example, if the employee 6 excellently presented a paper on JAVA and the colleagues provided good feedback relating to 7 communication skills and relating to JAVA expertise of the employee, accordingly one 8 information record may relate to the communication skill and another information record may 9 relate to the JAVA expertise. In this way, an external 1MM residing in each of the internal and external platforms may gather information records about all activities performed by an employee 11 on the respective internal and external platforms and communicate the same to the IMM 118 of 12 the system 102.
13 [0038] As explained above, activities performed by the employee as mentioned above 14 may be performed by the employee using their respective client devices 104.
Accordingly, in one embodiment, the external 1MM may reside in the client device 104 and may be configured 16 to monitor all the activities performed on the client device 104 by the employee. Information 17 records that may be generated by the external 1MM based on such activities may be provided to 18 the IMM 118 of the system 102.
19 [0039] Once all the information records relating to the various activities of the employees are available with the IMM 118, the IMM 118 may transfer the information records to 21 the decision module 120. The decision module 120 includes a list of predefined facets that may 22 be associated with the employees of the enterprise. Facets of an employee may provide details 23 about strengths, areas of improvements, interests, qualities, passions, hobbies, skills, and 24 behavioral characteristics of the employees. Example of facets may include, but not limited to, innovative, collaborative, introvert, extrovert, team player, presentation skills, multi-tasking, 26 oration, interaction behavior, writing skills, subject expertise, learning abilities, adaptive, curator, 27 communication skills, and affinities towards something.
28 [0040] In one implementation, after receiving the information records related to the 29 activities of the employee, the decision module 120 may associate each information record to one or more facets. For example, an information record that the employee excellently presented 31 a paper on JAVA in the enterprise may be assigned to three facets, namely, 'good presentation 32 skills,"JAVA expert,' and 'good orator.' Similarly, if the employee contributed an innovative 33 solution for an existing manufacturing process problem, then such an information record about 34 the employee may be categorized to a facet called 'innovative.' Similarly, if the employee took a 22285179.1 9 Agent Ref: 78621/00001 1 lot of time to learn a new technology, then such an information record may be categorized to a 2 facet relating to 'areas of improvement.' In this way, each information record may be associated 3 with one or more facets by the decision module 120.
4 [0041] After each information record of the employee is assigned to one or more facets, the packet generator 122 may generate information packets 130, interchangeably referred to as 6 Q-bits in the present description, corresponding to the information records.
A plurality of 7 information packets are linked to one another to build the face data network 126 as explained 8 subsequently.
9 [0042] Referring to Figure 2a, a packet header 200 is defined for each information packet or Q-bit, so as to link the Q-bits to one another, Each 0-bit has the packet header 200 11 and a packet body that comprises an information record relating to an activity performed by the 12 employee. For example, if the employee presented a paper and one or more colleagues 13 provided feedback on the paper presented, then the packet body may comprise information 14 relating to the paper presented and the feedbacks received from the colleagues, while, the packet header 200 may comprise summary data relating to the activity performed by the 16 employee. The summary data may include at least one of a destination address of the 17 employee i.e. an employee ID 202 of the employee performing the activity, an indication of one 18 or more facets associated with an information record corresponding to an activity performed by 19 the employee i.e. a facet tag 204, a flux value 206, a feedback agent 208, an identification number of the information packet i.e. a Q-bit ID 210, a timestamp 212, extension fields 214, and 21 a flux direction 216. Such information packets or Q-bits are saved as information packets data 22 130.
23 [0043] In one implementation, the packet headers 200 may be used to link the Q-bits to 24 form the facet data network 126. Details of facet data network 126 are illustrated in Figure 2b.
[0044] In one implementation, the employee ID 202 may include at least one of a photo 26 image of the employee, an Internet Protocol (IP) address of the client device 104 of the 27 employee, an employee reference number uniquely identifying the employee in the enterprise, 28 and a complete name of the employee. The facet tags 204 are the indication of facets to which 29 an information record is associated with. For example, if the information record in the packet body is associated with two facets, namely, innovation and excellent team player, then the facet 31 tags 204 would be 'innovative' and 'excellent team player.' Therefore, a first facet 204-1 in the 32 packet header 200 would be `innovative' and a second facet 204-2 in the packet header 200 33 would be 'excellent team player,' The flux value 206 may depend on the information source from 34 which the information record is mined. In one embodiment, a predetermined weightage may be 22285179.1 10 Agent Ref: 78621/00001 1 assigned to each of the internal and external platforms. All information records gathered relating 2 to an activity preformed on a particular internal or external platform may accordingly have a flux 3 value 206 based on the weightage associated with the particular internal or external platform.
4 For example, if the information record is mined from a talent management platform then the flux value would be high, however, if the information record is mined from an external platform such 6 as a social networking website, then the flux value 206 would be low.
7 [0045] The feedback agent 208 is a person who provides feedback on an activity 8 performed by the employee. The Q-bit ID 210 is a unique reference number of the Q-bit. The 9 timestamp 212 is an indication of time at which the Q-bit was generated. The extension fields 214 include other metadata, 11 [0046] Referring to Figure 2b, the facet data network 126 is shown in accordance with 12 an embodiment of the present subject matter. The facet data network 126 may include a 13 plurality of Q-bits. The Q-bits may be linked to another and have a certain flux direction. A flux 14 direction 216 may be of three types, namely, influx, outflux, and biflux. A
Q-bit may have an influx direction if the Q-bit can enhance a facet value present in another Q-bit in a facet data 16 network 126 as shown in Figure 2b. An example may be considered to understand flux direction 17 216. It may be considered that the facet data network 126 includes three Q-bits associated with 18 an employee. The three Q-bits may include a first Q-bit 252, a second Q-bit 254, and a third Q-19 bit 256. The first Q-bit 252 may include two facet tags, namely, `innovative' and `good learning abilities' for an employee. A second Q-bit 254 may have a facet tag, namely, 'innovative' 21 because the employee may have provided an innovative solution to a problem in the enterprise.
22 The second Q-bit 254 may be linked to the first Q-bit 252 with an influx having direction from the 23 second Q-bit 254 to the first Q-bit 252 as shown in Figure 2b. In other words, since the second 24 Q-bit 254 adds value to the facet value present in the first Q-bit 252, the flux direction will be inwards i.e. influx. Now consider that the third Q-bit 256 has a facet tag, namely, `poor learning 26 abilities' for the employee. The third Q-bit 256 may be linked to the first Q-bit 252 with an outflux 27 having direction from the first Q-bit 252 to the third Q-bit 256 as shown in Figure 2b. In other 28 words, since the third Q-bit 256 diminishes the facet value present in the first Q-bit 252, the flux 29 direction will be outwards i.e. outflux. Similarly, biflux is used when both the employee and a feedback agent are benefitted.
31 [0047] In this way, the facet data network 126 may be built. Specifically, the facet data 32 network 126 may continuously receive Q-bits for employees of an enterprise.
The Q-bits may be 33 linked in the facet data network 126 using the packet headers 200. The facet data network 126 34 expands as more and more Q-bits are added to the facet data network 126. In one 22285179.1 11 Agent Ref: 78621100001 1 implementation, a single Q-bit may belong to more than one employee. For example, a Q-bit 2 related to an activity performed by a group of employees. Further, the facet data network 126 3 may also include photo images of employees as nodes in the facet data network 126. The photo 4 images of the employees may be linked to their respective Q-bits. A Q-bit associated with more than one employee may be linked to the photo images of all the associated employees. In one 6 implementation, the facet data network 126 may be implemented using a graph database 7 Neo4j" as known in the art.
8 [0048] In one implementation, the facet data network 126 may be used by the enterprise 9 to get an insight of qualities, expertise, interests, strengths, weaknesses, behavioral model, and various other facets associated with the employees, thereby helping the enterprise in several 11 ways, such as to assign right job to a right talent. For example, if the enterprise is looking for a 12 JAVA expert, then the facet data network 126 may help to identify employees who are expert in 13 JAVA, Further, if the enterprise is looking for an employee who personally knows a CEO of a 14 company X, then the facet data network 126 may help to identify the employee who is connected with the CEO on a social networking platform because, in one implementation, the 16 facet data network 126 holds information records relating to the connections of the employee on 17 social networking platforms. As evident, the facet data network 126 may have many 18 applications, for example, the facet data network 126 may be used to provide information 19 packets associated with an employee in response to information retrieval requests. Referring to the foregoing example, an information retrieval request may relate to indentifying a JAVA expert 21 and accordingly, in one example, employee IN of one or more employees who are experts in 22 JAVA may be searched and provided in response. Similarly, in another example, a query about 23 an employee who may be acquainted with the CEO of a company X may be included in an 24 information retrieval request.
[0049] In one implementation, the facet data network 126 may be analyzed to generate 26 an activity and/or association profile, also referred to as a reputation graph, of an employee. For 27 instance, the facet data network 126 comprises information regarding various activities 28 performed by an employee and various interactions he may have had with people he may be 29 associated with in some manner. These information, such as details relating to the activities and association are present in the Q-bits associated with the employee. Every activity may add 31 information pertaining to a facet of an employee, in the form of a new Q-bit, if such information 32 is not preexisting in the facet data network 126. Thus, if all Q-bits associated with an employee 33 were to be retrieved from the facet data network 126, it may consequent in a reputation graph of 34 the employee that may reveal activities and association of the employee.
22285179.1 12 Agent Ref: 78621/00001 1 [00501 Figure 3 illustrates a method 300 for developing a facet data network for an 2 employee of an enterprise, according to an implementation of the present subject matter. The 3 method 300 may be described in the general context of computer executable instructions.
4 Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, etc., that perform particular 6 functions or implement particular abstract data types. The method 300 may also be practiced in 7 a distributed computing environment where functions are performed by remote processing 8 devices that are linked through a communications network. In a distributed computing 9 environment, computer executable instructions may be located in both local and remote computer storage media, including memory storage devices.
11 [0051] The order in which the method 300 is described is not intended to be construed 12 as a limitation, and any number of the described method blocks can be combined in any order 13 to implement the method 300 or alternate methods. Additionally, individual blocks may be 14 deleted from the method 300 without departing from the spirit and scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, 16 software, firmware, or combination thereof. However, for ease of explanation, in the 17 embodiments described below, the method 300 may be considered to be implemented in the 18 above described system 102.
19 [0052] At block 302, a plurality of information records relating to at least one activity performed by an employee of the enterprise from at least one information source may be 21 received. In one implementation, the information records may be received by the information 22 mining module 118.
23 [0053] At block 304, each of the plurality of information records may be associated with 24 at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise by the decision module 120.
26 [0054] At block 306, a plurality of information packets may be generated by the packet 27 generator 122. Each information packet corresponds to an information record from amongst the 28 plurality of information records. Further, an information packet from amongst the plurality of 29 information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
31 [0055] At block 308, a packet header for each of the plurality of information packets is 32 defined. The packet header of an information packet from amongst the plurality of information 33 packets links the information packet to one or more other information packets from amongst the 34 plurality of information packets.
22285179.1 13 Agent Ref. 78621/00001 1 [0056] Although implementations for methods and systems for developing a facet data 2 network for an enterprise have been described in language specific to structural features and/or 3 methods, it is to be understood that the appended claims are not necessarily limited to the 4 specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for building a facet data network-22285179.1 14
is innovative or has 18 innovative skills may be captured. Information records may pertain to various facets of an 19 employee. As apparent from the above example, an information record may relate to communication skill while the other may relate to a behavioral aspect of an employee i.e.
21 innovative nature and yet another information record may relate to a facet, such as expertise in 22 a certain topic, which is topic Y in the above example.
23 [0015] These information records may be captured in a meaningful way so as to provide 24 strategic advantage to the enterprise. For example, these information records may be used to get an insight of qualities, expertise, interests, strengths, weaknesses, behavioral model, and 26 various other facets associated with the employees, thereby helping the enterprise in several 27 ways, such as to assign right job to a right talent.
28 [0016] In accordance with an embodiment of the present subject matter, the above 29 mentioned information records may be fetched from internal platforms and external platforms accessed by the employees. Internal platforms and external platforms may be monitored 31 continuously to track the activities performed by the employees so as to fetch or mine the 32 information related to the employees. Examples of internal platforms may include knowledge 33 management platforms, talent management platforms, instant messengers, and e-mail servers 34 present in the enterprise. Activities performed on internal platforms may include participation in 22285179.1 3 Agent fief: 78621/00001 1 discussions, presentations, attending or conducting training sessions, brainstorming sessions 2 on several topics, interaction with colleagues through calls, emails, instant messages and other 3 activities performed by the employees within the enterprise. Activities performed on the external 4 platforms may include, participating in a discussion or contributing some content relating to a certain topic on an online forum or interaction with acquaintances on a social networking 6 website.
7 [0017] The above mentioned information records may be used to build a facet data 8 network for an enterprise. Accordingly, the present description is presented in context of a facet 9 data network of employees of an enterprise where data relating to various facets of an employee, i.e., information records, are gathered from the activities that the employees perform 11 on internal platforms of the enterprise. In will be appreciated by one skilled in the art that 12 although the present description is explained in context of an enterprise and its internal 13 platforms, the concepts related thereto may be extended to other group of people who may not 14 necessarily be engaged in an enterprise and may perform activities on any forum, such as a social networking website.
16 [0018] In one implementation, after the information records about the employees are 17 mined from the activities performed on the internal platforms and external platforms, each 18 information record is categorized into one or more facets. For example, if it is determined that 19 an idea contributed by an employee in the talent management platform is innovative, then an information record that the employee is innovative may be associated with a facet called 21 `innovative.' Similarly, each information record may be captured and associated with one or 22 more facets such as behavior, skill, expertise, and the like.
23 [0019] In the present embodiment, once the information records fetched from the 24 activities performed on the internal platforms are associated with one or more facets, the information records may be used to form the facet data network. The facet data network may be 26 understood as a network data hub or a network of information packets associated with one or 27 more employees such that each information packet comprises information pertaining to a facet 28 of an employee.
29 [0020] In one embodiment, a facet data network may be built for a content.
For example, consider that an employee A provides a solution relating to a software security 31 vulnerability. The employee A may upload the solution on an internal forum.
Other employees 32 may start commenting on the solution provided by employee A. For example one or more 33 comments may include suggestions to tweak the solution to improvise it.
Some comments may 34 reveal problems that may exist in implementing the solution suggested by employee A.
22285179.1 4 Agent Ref 78621/00001 1 Accordingly, information record may be captured for the content and a facet data network may 2 be created for the content.
3 [0021] Although the explanation herein is in context of a facet data network for 4 individual, such as employees, it will be understood that the same may be applied to a facet data network for a content, albeit a few modification that will be apparent to one skilled in the 6 art.
7 [0022] In one implementation, the data hub comprises information records in the form of 8 information packets. Each information packet may include a header comprising a destination 9 address of an employee, an indication of a facet associated with the information record, at least one facet tag, a flux direction, a flux value, a feedback agent, an information packet ID, a 11 timestamp, and other extension fields. The headers may interlink various information packets 12 with one another in the data hub based upon an indication of facet present in the headers. Thus 13 based upon the number of information packets associated with an employee, the flux value of 14 the information packets, and the flux direction of the information packets, a facet data network may be generated.
16 [0023] The facet data network reveals one or more facets of the employee.
For 17 example, the facet data network may reveal facets such as interaction behavior, ability to 18 innovate, ability to work in a team, ability to work independently, and the like. The facet data 19 network may enable the enterprise to understand the technological behavioral, social trends, strengths, weakness, and other aspects associated with the employees, thereby enabling the 21 enterprise to utilize the employees better and help the employees realize their career goals, in 22 terms of new work allocations, engaging in learning and development programs, and the like.
23 [0024] These and other aspects of the present subject matter would be described in 24 greater detail in conjunction with the following figures. While aspects of described systems and methods for building a facet data network may be implemented in any number of different 26 computing systems, environments, and/or configurations, the embodiments are described in the 27 context of the following system.
28 [0025] Figure 1 illustrates a network 100 implementing a system 102 for developing a 29 facet data network for an enterprise, in accordance with an embodiment of the present subject matter. The system 102 may be implemented in a variety of computing systems such as a 31 laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a 32 server, a network server, and the like. It will be understood that the system 102 may be 33 accessed through one or more client devices 104-1, 104-2, 104-3, and 104-N, that may be 34 collectively referred to as client devices 104. Examples of the client devices 104 may include, 22285179.1 5 Agent Ref 78621100001 1 but are not limited to, a portable computer, a personal digital assistant, a handheld device, and 2 a workstation. The client devices 104 are communicatively coupled to the system 102 through a 3 network 106 for facilitating one or more users to access the system 102.
4 [0026] In one implementation, the network 106 may be a wireless network, a wired network or a combination thereof. The network 106 can be implemented as one of the different 6 types of networks, such as intranet, local area network (LAN), wide area network (WAN), the 7 internet, and the like. The network 106 may either be a dedicated network or a shared network.
8 The shared network represents an association of the different types of networks that use a 9 variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like, to 11 communicate with one another. Further the network 106 may include a variety of network 12 devices, including routers, bridges, servers, computing devices, storage devices, and the like.
13 [0027] In one embodiment, the system 102 may include at least one processor 108, an 14 I/O interface 110, and a memory 112. The processor 108 may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing 16 units, state machines, logic circuitries, and/or any devices that manipulate signals based on 17 operational instructions. Among other capabilities, the processor 108 is configured to fetch and 18 execute computer-readable instructions stored in the memory 112.
19 [0028] The I/O interface 110 may include a variety of software and hardware interfaces, for example, a web interface, a graphical user interface, an the like. The 110 interface 110 may 21 allow the system 102 to interact with the client devices 104. Further, the 110 interface 110 may 22 enable the system 102 to communicate with other computing devices, such as web servers and 23 external data servers (not shown). The 1/0 interface 110 can facilitate multiple communications 24 within a wide variety of networks and protocol types, including wired networks, for example LAN, cable, etc., and wireless networks such as WLAN, cellular, or satellite. The I/O interface 110 26 may include one or more ports for connecting a number of devices to one another or to another 27 server.
28 [0029] The memory 112 may include any computer-readable medium known in the art 29 including, for example, volatile memory such as static random access memory (SRAM) and dynamic random access memory (DRAM), and/or non-volatile memory, such as read only 31 memory (ROM), erasable programmable ROM, flash memories, hard disks, optical disks, and 32 magnetic tapes. The memory 112 may include modules 114 and data 116.
33 [0030] The modules 114 include routines, programs, objects, components, data 34 structures, etc., which perform particular tasks or implement particular abstract data types. In 22285179.1 6 Agent Ref: 78621/00001 1 one implementation, the modules 114 may include an information mining module (IMM) 118, a 2 decision module 120, a packet generator 122, and other modules 124. The other modules 124 3 may include programs or coded instructions that supplement applications and functions of the 4 system 102.
[0031] The data 116, amongst other things, serves as a repository for storing data 6 processed, received, and generated by one or more of the modules 114. The data 116 may also 7 include a facet data network 126 comprising information records data 128 and information 8 packets data 130. Data 116 may further include other data 132.
9 [0032] In one implementation, an employee of an enterprise may perform certain activities on one or more internal platforms of the enterprise, The activities performed on internal 11 platforms may include activities related to work assigned to the employee in the enterprise. For 12 example, the employee may be asked to perform the following activities in the enterprise on the 13 internal platforms: prepare and present a presentation on a certain topic, or develop a program 14 logic for a software program, or brainstorm a solution for a problem existing in a manufacturing unit, or streamline a process flow, or manage progress of a group of employees and perform 16 quality checks for them, or provide a training to group of people, or strategize business 17 development, or hire new people for the enterprise, or research on a topic, or organize a 18 seminar, or draft a patent application, or perform a market analysis of particular item, or 19 accumulate client needs and develop a software program accordingly, and other activities depending upon a field of work of the employee.
21 [0033] In one embodiment, employees may also perform some activities which may not 22 be directly connected with the field of work of the employee on certain external platforms, 23 Activities performed by the employee on the external platforms may include writing a blog, or 24 building a professional profile on social networking website, or participating in an online discussion on a certain topic such as JAVA, or contributing to a development of a particular 26 subject, or discussing a topic on an online forum, or voting in a poll question asked in a news 27 website, or commenting on a subject, and the other such activities.
28 [0034] While there may be several internal and external platforms with which the 29 employees may interact with to perform the one or more of the above described activities, for ease of explanation, a single platform, hereinafter referred to as a platform 134 is depicted in 31 Figure 1. The platform 134 may be implemented in a variety of computing systems such as a 32 laptop computer, a desktop computer, a notebook, a workstation, a mainframe computer, a 33 server, a network server, and the like, 22285179.1 7 Agent Ref: 78621/00001 1 [00351 The activities, as mentioned above, may be performed by the employees using 2 their respective client devices 104. All the activities performed on the client device 104 by an 3 employee may be monitored by the !MM 118 of the system 102. The 1MM 118 may fetch or 4 mine information records relating to all the activities performed on the internal and external platforms. In other words, 1MM 118 may fetch information records relating to all the activities 6 performed by the employee on the client device 104. In one example, the IMM
118 may be a 7 conventionally known data mining system or a text mining application configured to extract 8 information records relating to the various activities. For example, when the employee accesses 9 his profile on a social networking website using the client device 104, the IMM 118 may fetch a list of people connected with the employee on said social networking website.
In another 11 example, in case the employee is involved in developing a software program to automate a 12 work process, then the IMM 118 may be configured to fetch details relating to the software 13 program, such as the application framework being used to develop the software program on the 14 client device 104. Such information records which are extracted by monitoring the activities of an employee are saved as information records data 128.
16 [00361 In one implementation, the IMM 118 may not directly extract information records 17 underlying various activities that may be performed by an employee but may be configured to 18 receive the information records from an external IMM (not shown in figures). In one 19 embodiment, the platform 134 may be considered to be a knowledge management platform or a talent management system of the enterprise wherein the platform 134 may comprise the 21 external IMM. The external IMM may also be implemented as a conventionally known data 22 mining system.
23 [0037] For example, consider that an employee performs an activity, such as submitting 24 a paper relating to a certain topic on the platform 134. In the present implementation, the external IMM implemented in the platform 134 and may be configured to extract information 26 records having various details. For example, an information record may be that the employee is 27 an expert in a topic. Further, the external IMM may also be capable of receiving additional 28 information records. Additional information records may include feedbacks that the colleagues 29 of the employee may wish give on an activity performed by the employee in the enterprise. For example, the colleagues may wish to provide a feedback about the paper presented by the 31 employee. In another example, one or more colleagues may provide feedbacks about a solution 32 provided by the employee to improve a manufacturing process, or about a corporate strategy 33 suggested by the employee in meeting, or about a contribution of the employee on a particular 34 topic, and other such activities. All such feedbacks are submitted to the platform 134. In one 22285179.1 8 Agent Ref 78621/00001 1 example, the colleagues may send an email to the platform 134 or use an application to upload 2 feedback or post a comment on the platform 134. These feedbacks may be monitored by the 3 external IMM to extract the information records relating to the activity performed by the 4 employee. It may be understood that each activity performed by the employee may have one or more information records relating to the activity performed. For example, if the employee 6 excellently presented a paper on JAVA and the colleagues provided good feedback relating to 7 communication skills and relating to JAVA expertise of the employee, accordingly one 8 information record may relate to the communication skill and another information record may 9 relate to the JAVA expertise. In this way, an external 1MM residing in each of the internal and external platforms may gather information records about all activities performed by an employee 11 on the respective internal and external platforms and communicate the same to the IMM 118 of 12 the system 102.
13 [0038] As explained above, activities performed by the employee as mentioned above 14 may be performed by the employee using their respective client devices 104.
Accordingly, in one embodiment, the external 1MM may reside in the client device 104 and may be configured 16 to monitor all the activities performed on the client device 104 by the employee. Information 17 records that may be generated by the external 1MM based on such activities may be provided to 18 the IMM 118 of the system 102.
19 [0039] Once all the information records relating to the various activities of the employees are available with the IMM 118, the IMM 118 may transfer the information records to 21 the decision module 120. The decision module 120 includes a list of predefined facets that may 22 be associated with the employees of the enterprise. Facets of an employee may provide details 23 about strengths, areas of improvements, interests, qualities, passions, hobbies, skills, and 24 behavioral characteristics of the employees. Example of facets may include, but not limited to, innovative, collaborative, introvert, extrovert, team player, presentation skills, multi-tasking, 26 oration, interaction behavior, writing skills, subject expertise, learning abilities, adaptive, curator, 27 communication skills, and affinities towards something.
28 [0040] In one implementation, after receiving the information records related to the 29 activities of the employee, the decision module 120 may associate each information record to one or more facets. For example, an information record that the employee excellently presented 31 a paper on JAVA in the enterprise may be assigned to three facets, namely, 'good presentation 32 skills,"JAVA expert,' and 'good orator.' Similarly, if the employee contributed an innovative 33 solution for an existing manufacturing process problem, then such an information record about 34 the employee may be categorized to a facet called 'innovative.' Similarly, if the employee took a 22285179.1 9 Agent Ref: 78621/00001 1 lot of time to learn a new technology, then such an information record may be categorized to a 2 facet relating to 'areas of improvement.' In this way, each information record may be associated 3 with one or more facets by the decision module 120.
4 [0041] After each information record of the employee is assigned to one or more facets, the packet generator 122 may generate information packets 130, interchangeably referred to as 6 Q-bits in the present description, corresponding to the information records.
A plurality of 7 information packets are linked to one another to build the face data network 126 as explained 8 subsequently.
9 [0042] Referring to Figure 2a, a packet header 200 is defined for each information packet or Q-bit, so as to link the Q-bits to one another, Each 0-bit has the packet header 200 11 and a packet body that comprises an information record relating to an activity performed by the 12 employee. For example, if the employee presented a paper and one or more colleagues 13 provided feedback on the paper presented, then the packet body may comprise information 14 relating to the paper presented and the feedbacks received from the colleagues, while, the packet header 200 may comprise summary data relating to the activity performed by the 16 employee. The summary data may include at least one of a destination address of the 17 employee i.e. an employee ID 202 of the employee performing the activity, an indication of one 18 or more facets associated with an information record corresponding to an activity performed by 19 the employee i.e. a facet tag 204, a flux value 206, a feedback agent 208, an identification number of the information packet i.e. a Q-bit ID 210, a timestamp 212, extension fields 214, and 21 a flux direction 216. Such information packets or Q-bits are saved as information packets data 22 130.
23 [0043] In one implementation, the packet headers 200 may be used to link the Q-bits to 24 form the facet data network 126. Details of facet data network 126 are illustrated in Figure 2b.
[0044] In one implementation, the employee ID 202 may include at least one of a photo 26 image of the employee, an Internet Protocol (IP) address of the client device 104 of the 27 employee, an employee reference number uniquely identifying the employee in the enterprise, 28 and a complete name of the employee. The facet tags 204 are the indication of facets to which 29 an information record is associated with. For example, if the information record in the packet body is associated with two facets, namely, innovation and excellent team player, then the facet 31 tags 204 would be 'innovative' and 'excellent team player.' Therefore, a first facet 204-1 in the 32 packet header 200 would be `innovative' and a second facet 204-2 in the packet header 200 33 would be 'excellent team player,' The flux value 206 may depend on the information source from 34 which the information record is mined. In one embodiment, a predetermined weightage may be 22285179.1 10 Agent Ref: 78621/00001 1 assigned to each of the internal and external platforms. All information records gathered relating 2 to an activity preformed on a particular internal or external platform may accordingly have a flux 3 value 206 based on the weightage associated with the particular internal or external platform.
4 For example, if the information record is mined from a talent management platform then the flux value would be high, however, if the information record is mined from an external platform such 6 as a social networking website, then the flux value 206 would be low.
7 [0045] The feedback agent 208 is a person who provides feedback on an activity 8 performed by the employee. The Q-bit ID 210 is a unique reference number of the Q-bit. The 9 timestamp 212 is an indication of time at which the Q-bit was generated. The extension fields 214 include other metadata, 11 [0046] Referring to Figure 2b, the facet data network 126 is shown in accordance with 12 an embodiment of the present subject matter. The facet data network 126 may include a 13 plurality of Q-bits. The Q-bits may be linked to another and have a certain flux direction. A flux 14 direction 216 may be of three types, namely, influx, outflux, and biflux. A
Q-bit may have an influx direction if the Q-bit can enhance a facet value present in another Q-bit in a facet data 16 network 126 as shown in Figure 2b. An example may be considered to understand flux direction 17 216. It may be considered that the facet data network 126 includes three Q-bits associated with 18 an employee. The three Q-bits may include a first Q-bit 252, a second Q-bit 254, and a third Q-19 bit 256. The first Q-bit 252 may include two facet tags, namely, `innovative' and `good learning abilities' for an employee. A second Q-bit 254 may have a facet tag, namely, 'innovative' 21 because the employee may have provided an innovative solution to a problem in the enterprise.
22 The second Q-bit 254 may be linked to the first Q-bit 252 with an influx having direction from the 23 second Q-bit 254 to the first Q-bit 252 as shown in Figure 2b. In other words, since the second 24 Q-bit 254 adds value to the facet value present in the first Q-bit 252, the flux direction will be inwards i.e. influx. Now consider that the third Q-bit 256 has a facet tag, namely, `poor learning 26 abilities' for the employee. The third Q-bit 256 may be linked to the first Q-bit 252 with an outflux 27 having direction from the first Q-bit 252 to the third Q-bit 256 as shown in Figure 2b. In other 28 words, since the third Q-bit 256 diminishes the facet value present in the first Q-bit 252, the flux 29 direction will be outwards i.e. outflux. Similarly, biflux is used when both the employee and a feedback agent are benefitted.
31 [0047] In this way, the facet data network 126 may be built. Specifically, the facet data 32 network 126 may continuously receive Q-bits for employees of an enterprise.
The Q-bits may be 33 linked in the facet data network 126 using the packet headers 200. The facet data network 126 34 expands as more and more Q-bits are added to the facet data network 126. In one 22285179.1 11 Agent Ref: 78621100001 1 implementation, a single Q-bit may belong to more than one employee. For example, a Q-bit 2 related to an activity performed by a group of employees. Further, the facet data network 126 3 may also include photo images of employees as nodes in the facet data network 126. The photo 4 images of the employees may be linked to their respective Q-bits. A Q-bit associated with more than one employee may be linked to the photo images of all the associated employees. In one 6 implementation, the facet data network 126 may be implemented using a graph database 7 Neo4j" as known in the art.
8 [0048] In one implementation, the facet data network 126 may be used by the enterprise 9 to get an insight of qualities, expertise, interests, strengths, weaknesses, behavioral model, and various other facets associated with the employees, thereby helping the enterprise in several 11 ways, such as to assign right job to a right talent. For example, if the enterprise is looking for a 12 JAVA expert, then the facet data network 126 may help to identify employees who are expert in 13 JAVA, Further, if the enterprise is looking for an employee who personally knows a CEO of a 14 company X, then the facet data network 126 may help to identify the employee who is connected with the CEO on a social networking platform because, in one implementation, the 16 facet data network 126 holds information records relating to the connections of the employee on 17 social networking platforms. As evident, the facet data network 126 may have many 18 applications, for example, the facet data network 126 may be used to provide information 19 packets associated with an employee in response to information retrieval requests. Referring to the foregoing example, an information retrieval request may relate to indentifying a JAVA expert 21 and accordingly, in one example, employee IN of one or more employees who are experts in 22 JAVA may be searched and provided in response. Similarly, in another example, a query about 23 an employee who may be acquainted with the CEO of a company X may be included in an 24 information retrieval request.
[0049] In one implementation, the facet data network 126 may be analyzed to generate 26 an activity and/or association profile, also referred to as a reputation graph, of an employee. For 27 instance, the facet data network 126 comprises information regarding various activities 28 performed by an employee and various interactions he may have had with people he may be 29 associated with in some manner. These information, such as details relating to the activities and association are present in the Q-bits associated with the employee. Every activity may add 31 information pertaining to a facet of an employee, in the form of a new Q-bit, if such information 32 is not preexisting in the facet data network 126. Thus, if all Q-bits associated with an employee 33 were to be retrieved from the facet data network 126, it may consequent in a reputation graph of 34 the employee that may reveal activities and association of the employee.
22285179.1 12 Agent Ref: 78621/00001 1 [00501 Figure 3 illustrates a method 300 for developing a facet data network for an 2 employee of an enterprise, according to an implementation of the present subject matter. The 3 method 300 may be described in the general context of computer executable instructions.
4 Generally, computer executable instructions can include routines, programs, objects, components, data structures, procedures, modules, functions, etc., that perform particular 6 functions or implement particular abstract data types. The method 300 may also be practiced in 7 a distributed computing environment where functions are performed by remote processing 8 devices that are linked through a communications network. In a distributed computing 9 environment, computer executable instructions may be located in both local and remote computer storage media, including memory storage devices.
11 [0051] The order in which the method 300 is described is not intended to be construed 12 as a limitation, and any number of the described method blocks can be combined in any order 13 to implement the method 300 or alternate methods. Additionally, individual blocks may be 14 deleted from the method 300 without departing from the spirit and scope of the subject matter described herein. Furthermore, the method can be implemented in any suitable hardware, 16 software, firmware, or combination thereof. However, for ease of explanation, in the 17 embodiments described below, the method 300 may be considered to be implemented in the 18 above described system 102.
19 [0052] At block 302, a plurality of information records relating to at least one activity performed by an employee of the enterprise from at least one information source may be 21 received. In one implementation, the information records may be received by the information 22 mining module 118.
23 [0053] At block 304, each of the plurality of information records may be associated with 24 at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise by the decision module 120.
26 [0054] At block 306, a plurality of information packets may be generated by the packet 27 generator 122. Each information packet corresponds to an information record from amongst the 28 plurality of information records. Further, an information packet from amongst the plurality of 29 information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
31 [0055] At block 308, a packet header for each of the plurality of information packets is 32 defined. The packet header of an information packet from amongst the plurality of information 33 packets links the information packet to one or more other information packets from amongst the 34 plurality of information packets.
22285179.1 13 Agent Ref. 78621/00001 1 [0056] Although implementations for methods and systems for developing a facet data 2 network for an enterprise have been described in language specific to structural features and/or 3 methods, it is to be understood that the appended claims are not necessarily limited to the 4 specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations for building a facet data network-22285179.1 14
Claims (20)
1. A computerized method for developing a facet data network for an employee of an enterprise, the method comprising:
receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise;
and generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise;
and generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
2. The method as claimed in claim 1, further comprising defining a packet header for each of the plurality of information packets, such that the packet header of an information packet from amongst the plurality of information packets links the information packet to one or more other information packets from amongst the plurality of information packets.
3. The method as claimed in claim 2, wherein each packet header comprises an indication of a facet associated with an information record corresponding to an information packet.
4. The method as claimed in claim 2, wherein each packet header comprises at least one of a flux value and a flux direction associated with an information record corresponding to an information packet.
5. The method as claimed in claim 4, wherein the flux direction is one of an influx, an outflux, and a biflux.
6. The method as claimed in claim 2, wherein each packet header comprises an identity of the employee performing the at least one activity.
7. The method as claimed in claim 1, wherein the receiving further comprises mining the plurality of information records from the at least one information source.
8. The method as claimed in claim 1, providing the information packets associated with the employee based upon an information retrieval request.
9. A system for developing a facet data network for an employee of an enterprise, the system comprising:
a processor; and a memory coupled to the processor, the memory comprising an information mining module for receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
a decision module for associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise; and a packet generator for generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
a processor; and a memory coupled to the processor, the memory comprising an information mining module for receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
a decision module for associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise; and a packet generator for generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
10. The system as claimed in claim 9, wherein the packet generator is further configured to define a packet header for each of the plurality of information packets, such that the packet header of an information packet from amongst the plurality of information packets links the information packet to one or more other information packets from amongst the plurality of information packets.
11. The system as claimed in claim 10, wherein each packet header comprises at least one of an indication of a facet, a flux value, and a flux direction associated with an information record corresponding to an information packet.
12. The system as claimed in claim 11, wherein the flux direction is one of an influx, an outflux, and a biflux.
13. The system as claimed in claim 9, wherein the one or more facets are innovative, collaborative, outgoing, team player, presentation skills, multi-tasking, oration, interaction behavior, quick learner, adaptive, curator, and communication skills.
14. The system as claimed in claim 9, wherein the information mining module is further configured to extract the plurality of information records from the at least one information source.
15. The system as claimed in claim 9, wherein the at least one information source comprises at least one of a knowledge management platform and a talent management platform of the enterprise.
16. A computer-readable medium having embodied thereon a computer program for executing a method for developing a facet data network for an employee of an enterprise, the method comprising:
receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise;
and generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
receiving a plurality of information records from at least one information source, wherein the plurality of information records relates to at least one activity performed by the employee of the enterprise;
associating each of the plurality of information records with at least one facet from amongst a plurality of facets defined for one or more employees of the enterprise;
and generating a plurality of information packets, each information packet corresponding to an information record from amongst the plurality of information records, wherein an information packet from amongst the plurality of information packets links to one or more other information packets from amongst the plurality of information packets for building the facet data network.
17. The computer-readable medium as claimed in claim 16, further comprising a computer program for defining a packet header for each of the plurality of information packets, such that the packet header of an information packet from amongst the plurality of information packets links the information packet to one or more other information packets from amongst the plurality of information packets.
18. The computer-readable medium as claimed in claim 17, wherein each packet header comprises an indication of a facet associated with an information record corresponding to an information packet.
19. The computer-readable medium as claimed in claim 17, wherein each packet header comprises at least one of a flux value and a flux direction associated with an information record corresponding to an information packet.
20. The computer-readable medium as claimed in claim 19, wherein the flux direction is one of an influx, an outflux, and a biflux.
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| US8990196B2 (en) * | 2007-08-08 | 2015-03-24 | Puneet K. Gupta | Knowledge management system with collective search facility |
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